Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nima Dehmamy"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Visualization of large complex networks is challenging with limitations for the network size and depicting specific structures. The authors propose a Graph Neural Network based algorithm with improved speed and the quality of graph layouts, which all
Externí odkaz:
https://doaj.org/article/c9d02f0311d6413081056c169a0b3446
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Despite their ubiquitous nature across a wide range of creative domains, it remains unclear if there is any regularity underlying the beginning of successful periods in a career. Here, the authors develop computational methods to trace the career out
Externí odkaz:
https://doaj.org/article/aad55f37425c4eefb2a201c8ca6df467
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract We propose a dynamic model for systemic risk using a bipartite network of banks and assets in which the weight of links and node attributes vary over time. Using market data and bank asset holdings, we are able to estimate a single parameter
Externí odkaz:
https://doaj.org/article/e34544dd6712478ab8ba1a2efab23343
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Across a range of creative domains, individual careers are characterized by hot streaks, which are bursts of high-impact works clustered together in close succession. Yet it remains unclear if there are any regularities underlying the beginning of ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a5a54b0834fc8657187a1196d0a655b
http://arxiv.org/abs/2103.01256
http://arxiv.org/abs/2103.01256
Publikováno v:
Nature Physics
While the structural characteristics of a network are uniquely determined by its adjacency matrix1–3, in physical networks, such as the brain or the vascular system, the network’s three-dimensional layout also affects the system’s structure and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a26d1d43ab84e3b16e304fdb0d6ef9c4
Publikováno v:
Nature
In many physical networks, including neurons in the brain1,2, three-dimensional integrated circuits3 and underground hyphal networks4, the nodes and links are physical objects that cannot intersect or overlap with each other. To take this into accoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43325050e57820e531a8e9cfea6e7b7a
https://doi.org/10.1038/s41586-018-0726-6
https://doi.org/10.1038/s41586-018-0726-6
Publikováno v:
ICASSP
We argue that learning a hierarchy of features in a hierarchical dataset requires lower layers to approach convergence faster than layers above them. We show that, if this assumption holds, we can analytically approximate the outcome of stochastic gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4777fccd2e0564211d0fda538ae9bae
https://doi.org/10.1109/icassp.2019.8682781
https://doi.org/10.1109/icassp.2019.8682781
Financial networks are dynamic. To assess their systemic importance to the world-wide economic network and avert losses we need models that take the time variations of the links and nodes into account. Using the methodology of classical mechanics and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1954ec0bb58e6dccea0781260a302961